#medical ai

Researchers found that people writing symptom reports for an AI chatbot left out detail compared with reports intended for a human doctor, a gap that could undermine digital triage as AI becomes a front door to care.

SquareMind says its Swan system uses robotics and AI to automate full-body dermoscopic imaging, aiming to reduce documentation burden and improve early skin-cancer detection workflows in dermatology practices.

An editorial in Nature Medicine argues that healthcare AI should not be judged mainly by technical accuracy metrics when claims are being made about real clinical value.

A University of Gothenburg study found both physicians and the public in Sweden expect AI in health care to be more accurate than human clinicians, even as trust in the technology remains only moderate.

A new survey commissioned by Ohio State University Wexner Medical Center suggests public trust in AI in health care is slipping even as the technology becomes more common at work, at home, and in the doctor’s office.

A new study published in Nature Medicine evaluates ChatGPT's performance in making triage recommendations using structured clinical scenarios. The findings offer one of the most rigorous assessments yet of whether large language models can reliably assist in medical decision-making.